Applied Machine Learning Online Course

Category: AI & Machine Learning Course Progress : 38.83% Validity Left : 34 Days

Applied Machine Learning Online Course

Category: AI & Machine Learning
Course Progress : 38.83%
Time Left : 34 Days
Cinque Terre
Instructor
Applied AI Course

Module 1: Fundamentals of Programming
Chapters : 10 Duration : 15hrs 58min Completed : 24.32%

Module 2: Data Science: Exploratory Data Analysis and Data Visualization
Chapters : 10 Duration : 20hrs 59min Completed : 62.75%

13.17
12 mins
13.19
14 mins
13.37
30 mins

Module 3: Foundations of Natural Language Processing and Machine Learning
Chapters : 12 Duration : 33hrs 14min Completed : 75.43%

Module 4: Machine Learning - II( Supervised Learning Models)
Chapters : 6 Duration : 11hrs 32min Completed : 71.53%

Module 5: Feature Engineering, Productionization and deployment of ML Models
Chapters : 3 Duration : 28hrs 11min Completed : 1.36%

Module 6: Machine Learning Real-World Case Studies
Chapters : 7 Duration : 16hrs 47min Completed : 29.79%

Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapters : 9 Duration : 18hrs 0min Completed : 37.96%

54.2
7 mins
54.11
4 mins

Module 8: Neural Networks, Computer Vision and Deep Learning
Chapters : 15 Duration : 41hrs 10min Completed : 36.44%

Module 9: Deep Learning Real-World Case Studies
Chapters : 7 Duration : 10hrs 58min Completed : 0%

Module 10: Misc Topics: Spark for ML, Big Data, Reinforcement Learning, ML Design
Chapters : 4 Duration : 2hrs 58min Completed : 0%


DOWNLOAD SYLLABUS

Obective of Applied AI/ Machine Learning Online Course:

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data science and AI that would help the participants go from a real-world business problem to a first cut, working and deployable AI solution to the problem.

Our primary focus is to help participants build real-world AI solutions using the skills they learn in this course. This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 15+ case studies of real-world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to be used in the real world.

Key Points:

  1. 1. The validity of the Applied Machine Learning course is 365 days from the date of enrollment.

  2. 2. Expert Guidance, we will answer your queries in atmost 24hours.

  3. 3. 15+ real world case studies(includes 2 self case studies).

  4. 4. 30+ machine learning and Deep learning algorithms will be taught in this course.

  5. 5. There are no prerequisites for this course as we have taught everything from scratch including python programming.

  6. 6. We will also be conducting 70+ hours of live content based on students feedback and industry needs. We would cover topics to prepare our students better for real-world problem solving and interviews.

  7. 7. A mentor will be assigned to each candidate after the completion of 50% of the course assignments whose sole concentration would be on building the specific student's portfolio/resume and in interview preparation, mock interviews.

Target Audience:

Applied AI Course is designed to cater to the needs of students at various levels of expertise and varying background skills. Within the validity period of 365 days, students can complete the course anytime based on their feasibility and at their own pace. It will take 6 months to complete the course if you can put an effort of 14 to 15hrs per week. More the effort, better the results. Here is a list of candidates who would benefit from our course:
  1. Undergrad (B.Tech/B.E/BSc statistics/Bsc computer science/BCA) students in engineering and science.
  2. Grad(MS/MTech/ME/MCA) students in engineering and science.
  3. Working professionals: Software engineers, Business analysts, Startup teams building ML products/services, Product managers, Program managers, Managers, etc.
  4. Data Analysts, Data Scientists, ML Scientists and ML engineers.
Please Click Here to Download Our Syllabus
Course Features
Lectures
600+
Duration
150+ hours
Skill level
All levels
Language
English
Assessments
30 Mandatory Assignments

Cinque Terre

QUALIFICATION: Masters from IISC Bangalore, PROFESSIONAL EXPERIENCE: 11+ years of Experience( Yahoo Labs, Matherix Labs Co-founder, and Amazon)


3.1
38 mins--
3.2
10 mins--
3.3
4 mins--
3.4
16 mins--
3.5
21 mins--
3.6
16 mins--
Cinque Terre
Instructor
Applied AI Course

2814 Comment(s)
Loading...

Sandeep Panchal  465 Votes

It is really great to see exponential growth of AppliedAI. Team's efforts to consider every concern, and work on it is very much appreciable. Very soon AppliedAI will be one of the top most and successful Data Science learning platform.

Apr 09, 2019 08:17 AM
Applied AI Tech Admin 

Thank you for the kind words and the trusting us. We make sure every student who has trusted us will succeed through our course.

Apr 09, 2019 11:56 AM
Amneet Singh 

I also want to make a startup like you in the AI field, this course give me a good start for ml and deep learning. Till the end of my B.tech ,I want to gain as much as knowledge as possible, or i can say as impossible.Now, finished my first year.
Fully passionate for completing the case studies.

May 28, 2019 13:06 PM
Applied AI Tech Admin 

Learn as much as you can from this course and after your 2nd year onwards, start internships and by the time you sit for placements in your final year, you'll get as much exposure. In case if you are interested in  product development companies, along with ML, also gain strong command on CS fundamentals like Data Structures & Algorithms, Design Patterns, Operating Systems, Computer Networks, DBMS. Regarding the start up plans, once if you have some experience of around 3-5 years in the corporate, you can  think of a new startup because in order to run a startup along with the technical stuff, you also need management skills.

May 28, 2019 14:05 PM
Amneet Singh 

sir, thanks for wonderful suggestions. But What you suggest me regarding internships, I want to get some real world exposure by doing internship in these summer vacations, I completed 10 to 11 assinments,
Now In 10 to 15 days I 'll complete all course content, just case studies 'll left after that.
I have full june month for completing some case studies and refresh concepts about machine learning then till the end of june ,I'll apply for internsip.
Is this good idea.

May 28, 2019 15:06 PM
Applied AI Tech Admin 

Make sure your internship doesn't clash with your classes in college. Yes you can start applying for internship once if you finish the course. Once if you finish all the course content, there are chances for you to crack internships in top IT companies

May 28, 2019 15:51 PM
Slim Shady 

What are design patterns?

Jun 29, 2020 21:09 PM
team aaic 

https://en.wikipedia.org/wiki/Software_design_pattern
& https://www.geeksforgeeks.org/design-patterns-set-1-introduction/

Jun 29, 2020 22:02 PM
Sameer khan 

Pls call/give me your mobile number for detail

Aug 27, 2021 20:25 PM
Rehana thakur 

But.i.am.thinking.that.whats.select..my.cources

Dec 05, 2021 01:16 AM
ABHI 

The sole reason for this is: Verma sir is very very clear in his understanding and very keen on learning from various perspectives. 

Nov 26, 2021 23:04 PM
Bharath Gujjula 

Hi Team of Applied Roots(AAIC),
 

We are blessed to learn from you Sir, you made all concepts very easy by your way of teaching.  Can't Thank enough for that.

 

A Humble request for you, as you are a part of the scalar now, please don't kill this AI Course and Please make available this data of Amazingly taught AI content and Humongous Data of Intelligent questions and Intelligent Answers from Amazing Team.

 

Please make available just content and Live Sessions not all the job guarantees etc. Your content is sufficient enough to get a job if we work hard.

 

Thanks.

Jul 16, 2022 03:09 AM
team aaic 

Hi,
we will consider your suggestion.

Jul 16, 2022 06:46 AM
Rupal Lotia 

Sir can you please let us know if this is possible?

Aug 20, 2022 10:48 AM
team aaic 

Could you please drop a mail regarding this?

Aug 20, 2022 11:14 AM
Rupal Lotia 

Done Sir. Looking forward to your response

Aug 20, 2022 11:37 AM
team aaic 

We will reply ASAP. Thanks for your FeedBack

Aug 20, 2022 12:10 PM
Abhirup Saha 

Can I enrol for this course?

 

Oct 09, 2022 22:45 PM
Mahesh kumar 

Rupal,



Did you get a reply for this?



What was it?



Can email at - maheshkumarmitian@gmail.com

Oct 15, 2022 08:19 AM

Krushnakumar Nalange  59 Votes

Hi
first of all thank you for great course
Can you please provide some modules for reinforcement learning.

Nov 04, 2018 16:15 PM
Applied AI Course 

Adding more content to the current course would make it quite bulky for most of our students to finish and stay motivated through the course. Hence, we did not add Reinforcement Learning (RL) to it as of now. We do not want out our students to be overwhelmed by the course content and workload. While we want to add more content, we don't want to overburden the students.

We will probably create a new course (or) add RL to this course itself in the future (no guarantees) as optional topics. It should be easy for any of our students to pick up RL once they finish this course as they have all of the background in Maths and Deep-Learning. Please note that no course can cover everything in ML. Often the content in this course itself is split across 2-3 courses. But we designed the course such that students can pick up new concepts fairly easily at the end of the course. Actually, some of our students have picked up RL at the end of this course fairly easily.

Nov 05, 2018 04:12 AM
Krushnakumar Nalange 

Hi
Then I suggest please add another course for RL. I joined course not due to lack of material for ML online but due to organization and flow of course and the way you teach. So I request you to please consider this request seriously. I will happily pay for another course from you.

Nov 05, 2018 04:28 AM
Applied AI Course 

We will surely inform you once we have the Reinforcement course ready (or) when we add RL as an optional content for this course.

Nov 05, 2018 04:40 AM
Shobhit Singh 

Sir, where we can learn RL or will it be added to this course as optional?

Oct 13, 2020 10:26 AM

Soham Dhole  31 Votes

Hi team,
Thank you for your all efforts taken for designing such great content. Especially Varma sir's way of teaching and explaining difficult concepts in a very easy-to-understand manner is praiseworthy.
I have been doing this course for 4 months now and from my experience, I can say that your hard work reflects through all the components of this course, be it teaching, live lectures, doubt solving or the assignments.
I have one suggestion,
It will be great if you make a telephone line available for doubt clarification regarding the assignments. Many times it's a small workaround that fixes the bug, but waiting for your reply via mail takes about a day and this, in turn, hampers the course progress.
Please make a telephonic helpline available for doubt clarification.

Oct 07, 2019 21:33 PM
Applied AI Course Team1 

We encourage for doubts through mails. You can contact us at +918106920029/+916301939583 in case if you are looking for a phone call conversation with us.

Oct 07, 2019 22:17 PM

Madhusudana B R  31 Votes

Hi AAIC,

My friend attended interview with Accenture with 2 years Data Science Experience, below are the list of questions was asked to him:

1. Explain about yourself
2. Explain the projects that you worked for
3. What is the difference between logistic and linear
4. What is SIgmoid function
5. What is the difference between sigmoid and softmax function
6. what is validation
7. what s statification
8. what is bootstrap validation
9. What is cost function
10. Why is cost function so important in model
11. When did you apply cost function
12. What is optimizer
13.I have 10 Million records with 60 features, what is your approch to build a logistic regression
a. which validation you choose
b. which model you choose
c. Which optimizer you choose
d list the optimizers you know and explain the best one you choose for this problem
e. Where do you get the data ? is it from online or warehouse?

14.what is clustering and explain various clustering algorithms
15. Write psudo code of Density based clustering
16.Have you ever worked on SVM ? tell me the advantages
17. What is the node entropy
18. How is Rnadom forest is different from Xgboost
19. What are the most significant parameters for the xgboost
20 Why you preferr XG boost for both Liner and logistic
21. What is PCA
22. I applied PCA on 50 features and how many new feature will I get
23 WHat is Eigan vector
24. How you deploy your model into production
25. What Hadoop cluster you are using

Please give us some links or study materials if you find any topic missed in AAIC course with respect to above-listed questions.
Thanks

Jan 15, 2019 08:00 AM
Applied AI Course 

These are some of the easier questions in interviews. We have covered all go these concepts except (Q-25) about Hadoop in our course.
For Hadoop cluster, I guess the interviewee mentioned that he is working on Hadoop and hence he was asked which version of Hadoop and which distribution of Hadoop and probably what configuration he was using. We have also not covered (Q-1) as it changes from person to person!

Jan 15, 2019 09:44 AM
Madhusudana B R 

Hi, can you please explain what is your answer for below questions

22. I applied PCA on 50 features and how many new feature will I get

13. I have 10 Million records with 60 features, what is your approch to build a logistic regression
a. which validation you choose
b. which model you choose
c. Which optimizer you choose
d list the optimizers you know and explain the best one you choose for this problem
e. Where do you get the data ? is it from online or warehouse?

Jan 15, 2019 09:54 AM
Sonali Sahoo 

For question no 13. Does logistic regression will helpful as they didn't mention that data is binary classifier/ternary or more.because logistic regression is only for 2 class classification as it is using sigmoid function.
So,If Nothing mentioned in the question then should I believe it would be binary classifier as they mention the word logistic regression?

Jan 30, 2021 22:09 PM

Ankan Datta  15 Votes

Can we expect Reinforcement Learning to be added soon??..

Apr 04, 2019 13:04 PM
AppliedAI 

Please go through the comment thread:
http://www.appliedaicourse.com/course/11/applied-machine-learning-online-course#comment346

Apr 04, 2019 13:44 PM
Vinit Sharma 

Sir, If this is the case, then my suggestion would be to give some introduction course about reinforcement learning and make it as optional.

Sep 18, 2019 22:27 PM
Debajyoti 

It would be great in case there be a deep dive in Reinforcement Learning

Apr 04, 2019 15:18 PM
Applied AI Tech Admin 

So far we are not looking towards addding Reinforcement learning. But in future we may add it and you will be able to access it.

Apr 04, 2019 18:00 PM
VENKATESH E 

Once our validity gets over can we see those videos if you upload in future and do we need pay seperately for that ?

Jun 13, 2020 19:57 PM
Applied AI Tech Admin 

Once if the course validity is over, you'll not be able to access any content in both website and classroom.

Jun 13, 2020 21:26 PM
Alvin Loh 

Hi team, if the validity is over and I want to pay again to access the course.

Will my previous assignment and course progress be reset?



I don't think I can finish it on time but I still want to do as much as I can.

Oct 02, 2020 19:54 PM
team aaic 

Please drop an mail regarding the same query to team@appliedaicourse.com

Oct 02, 2020 20:19 PM
Ayswarya S 

After course completion and expiry. How will we access company placements as we are logged out from classroom? 

May 13, 2021 09:00 AM

kumar sanu  13 Votes

Sir i3 processor with 8Gb RAM is fine to complete this course

Apr 28, 2019 05:03 AM

ASHUTOSH KUMAR  11 Votes

Would like to suggest one functionality.
If you would create one dashboard where will get a ranking based on the respective assignment. It will be great.

Jun 15, 2019 09:22 AM

Priyank Mishra  9 Votes

Hello Sir, Do i need to watch the live sessions in each module after the completion of Course videos of each module, or can i first watch all the course videos, complete the assignments and then watch the live sessions?

Watching Live sessions are necessary for assignment completion, or should i watch them after i have completed the assignments?

Jun 02, 2020 17:14 PM
Applied AI Tech Admin 

We recommend you to watch the live sessions associated with each topic immediately after finishing the chapter asociated with that topic. This way you could learn the topic in much more depth as most of the live sessions are the deep dives of the topics.

Jun 02, 2020 17:16 PM

Rajeev L  9 Votes

HI Team,
I have 10+ years experience in IT. Currently working in Banking product implementation. My main concern is whether switching to AI/ML platform after 10+ experience is right was forward. Is it worth to take the risk of changing the domain now? My contact number: 98941 68004.

Jul 28, 2019 20:23 PM
Applied AI Course Team1 

See I will suggest it is never late to switch the skills set.If you really want the edge over new skills you can consider it.It totally depends on the interest of one.

Jul 29, 2019 01:06 AM

Fras Altoum  9 Votes

Can I learn artificial intelligence in the field of mechatronics?

Apr 02, 2019 06:58 AM